AI Empowering Unmanned Aerial Vehicle Using Cloud Computing

Abstract

In the era of artificial intelligence and technology, unmanned aerial vehicles (UAVs) have become adaptable platforms with uses in many vital fields such as surveillance, reconnaissance, mapping, and others such as civilian and military environments. The UAVs are increasingly deployed across diverse sectors, necessitating robust path planning strategies for optimal mission execution. This report suggests integrating Artificial Intelligence (AI) technology, enabling Unmanned Aerial Vehicles (UAVs) to be integrated into the cloud infrastructure, thereby allowing ubiquitous access to them. The research introduces framework architecture by enabling efficient intelligent decision making for path-planning through complex networking. By leveraging AI for intelligent decision-making and cloud computing the UAVs can achieve enhanced autonomy, adaptability, and mission success rates and the challenges face for scalable and flexible computational resources.